. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1447 3.3.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1449 3.3.6 Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1964 3.4.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1965 3.4.6 Function filtering by rows for which the class is either 2 or 3 and combining the two statements with an | (or) operator: In [18]: class_23 = titanic[(titanic["Pclass"] == 2) | (titanic["Pclass"] == 3)] In [19]: class_23

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1447 3.3.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1449 3.3.6 Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1965 3.4.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1966 3.4.6 Function filtering by rows for which the class is either 2 or 3 and combining the two statements with an | (or) operator: In [18]: class_23 = titanic[(titanic["Pclass"] == 2) | (titanic["Pclass"] == 3)] In [19]: class_23

from previous page) ....: 'Image': {'a': 'b'} ....: }] ....: In [11]: json_normalize(data, max_level=1) Out[11]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text {'Id': incompatible API changes 15 pandas: powerful Python data analysis toolkit, Release 0.25.0 The in operator (__contains__) now only returns True for exact matches to Intervals in the IntervalIndex, whereas MultiIndex (GH26944) • Bug in Categorical and CategoricalIndex with Interval values when using the in operator (__contains) with objects that are not comparable to the values in the Interval (GH23705) • Bug

'Name': 'Name001'}}, ....: 'Image': {'a': 'b'} ....: }] ....: In [11]: json_normalize(data, max_level=1) Out[11]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text {'Id': incompatible API changes 15 pandas: powerful Python data analysis toolkit, Release 0.25.1 The in operator (__contains__) now only returns True for exact matches to Intervals in the IntervalIndex, whereas MultiIndex (GH26944) • Bug in Categorical and CategoricalIndex with Interval values when using the in operator (__contains) with objects that are not comparable to the values in the Interval (GH23705) • Bug

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1469 3.3.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1471 3.3.6 Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2003 3.4.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2004 3.4.6 Function filtering by rows for which the class is either 2 or 3 and combining the two statements with an | (or) operator: In [18]: class_23 = titanic[(titanic["Pclass"] == 2) | (titanic["Pclass"] == 3)] In [19]: class_23

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1251 3.3.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1252 3.3.6 Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1745 3.4.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1745 3.4.6 Function filtering by rows for which the class is either 2 or 3 and combining the two statements with an | (or) operator: In [18]: class_23 = titanic[(titanic["Pclass"] == 2) | (titanic["Pclass"] == 3)] (continues on

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1251 3.3.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1252 3.3.6 Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1745 3.4.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1745 3.4.6 Function filtering by rows for which the class is either 2 or 3 and combining the two statements with an | (or) operator: In [18]: class_23 = titanic[(titanic["Pclass"] == 2) | (titanic["Pclass"] == 3)] In [19]: class_23

returning a Series when there was a column named sparse rather than the accessor (GH30758) • Fixed operator.xor() with a boolean-dtype SparseArray. Now returns a sparse result, rather than object dtype (GH31025) pipes and more recently dplyr and magrittr, which have introduced the popular (%>%) (read pipe) operator for R. The implementation of pipe here is quite clean and feels right at home in python. We encourage function match. The operator %in% is used to return a logical vector indicating if there is a match or not: s <- 0:4 s %in% c(2,4) The isin() method is similar to R %in% operator: In [12]: s = pd.Series(np

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1273 3.3.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1274 3.3.6 Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1775 3.4.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1776 3.4.6 Function filtering by rows for which the class is either 2 or 3 and combining the two statements with an | (or) operator: In [18]: class_23 = titanic[(titanic["Pclass"] == 2) | (titanic["Pclass"] == 3)] In [19]: class_23

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1272 3.3.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1273 3.3.6 Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1774 3.4.5 Binary operator functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1775 3.4.6 Function filtering by rows for which the class is either 2 or 3 and combining the two statements with an | (or) operator: In [18]: class_23 = titanic[(titanic["Pclass"] == 2) | (titanic["Pclass"] == 3)] In [19]: class_23